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http://dx.doi.org/10.6109/jkiice.2008.12.5.843

Face Detection using Color Information and AdaBoost Algorithm  

Na, Jong-Won (전남대학교 대학원 소프트웨어공학협동과정)
Kang, Dae-Wook (전남대학교 공과대학 전자컴퓨터공학부)
Bae, Jong-Sung (전남대학교 자연과학대학 수학통계학부)
Abstract
Most of face detection technique uses information from the face of the movement. The traditional face detection method is to use difference picture method ate used to detect movement. However, most do not consider this mathematical approach using real-time or real-time implementation of the algorithm is complicated, not easy. This paper, the first to detect real-time facial image is converted YCbCr and RGB video input. Next, you convert the difference between video images of two adjacent to obtain and then to conduct Glassfire Labeling. Labeling value compared to the threshold behavior Area recognizes and converts video extracts. Actions to convert video to conduct face detection, and detection of facial characteristics required for the extraction and use of AdaBoost algorithm.
Keywords
face detection; adaboost; color information;
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